{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T20:45:16Z","timestamp":1774903516257,"version":"3.50.1"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:00:00Z","timestamp":1750291200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:00:00Z","timestamp":1750291200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Discov Artif Intell"],"DOI":"10.1007\/s44163-025-00361-2","type":"journal-article","created":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T08:02:33Z","timestamp":1750320153000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Artificial intelligence-driven sentiment analysis and optimization of movie scripts"],"prefix":"10.1007","volume":"5","author":[{"given":"Hong","family":"Zheng","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,6,19]]},"reference":[{"key":"361_CR1","doi-asserted-by":"publisher","unstructured":"Kulkarni A, Gollavilli VSBH, Alsalami Z, Bhatia MK, Jovanovska S, Absur MN. Leveraging deep learning for improved sentiment analysis in natural language processing. 2024 3rd Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON). 2024:1\u20136. https:\/\/doi.org\/10.1109\/ODICON62106.2024.10797613.","DOI":"10.1109\/ODICON62106.2024.10797613"},{"key":"361_CR2","doi-asserted-by":"publisher","first-page":"120971","DOI":"10.1016\/j.techfore.2021.120971","volume":"171","author":"G Zeba","year":"2021","unstructured":"Zeba G, Dabic M, Cicak M, Daim T, Yalcin H. Technology mining: artificial intelligence in manufacturing. Technol Forecast Soc Change. 2021;171:120971. https:\/\/doi.org\/10.1016\/j.techfore.2021.120971.","journal-title":"Technol Forecast Soc Change"},{"key":"361_CR3","doi-asserted-by":"publisher","first-page":"102886","DOI":"10.1016\/j.futures.2021.102886","volume":"136","author":"J Newman","year":"2022","unstructured":"Newman J, Mintrom M, O\u2019Neill D. Digital technologies, artificial intelligence, and bureaucratic transformation. Futures. 2022;136:102886. https:\/\/doi.org\/10.1016\/j.futures.2021.102886.","journal-title":"Futures"},{"key":"361_CR4","doi-asserted-by":"publisher","first-page":"104437","DOI":"10.1016\/j.frl.2023.104437","volume":"58","author":"SX Zhai","year":"2023","unstructured":"Zhai SX, Liu ZP. Artificial intelligence technology innovation and firm productivity: evidence from China. Finance Res Lett. 2023;58:104437. https:\/\/doi.org\/10.1016\/j.frl.2023.104437.","journal-title":"Finance Res Lett"},{"issue":"2","key":"361_CR5","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1177\/02683962231197824","volume":"39","author":"S Vannuccini","year":"2024","unstructured":"Vannuccini S, Prytkova E. Artificial Intelligence\u2019s new clothes? A system technology perspective. J Inf Technol. 2024;39(2):317\u201338. https:\/\/doi.org\/10.1177\/02683962231197824.","journal-title":"J Inf Technol"},{"key":"361_CR6","doi-asserted-by":"publisher","first-page":"102715","DOI":"10.1016\/j.techsoc.2024.102715","volume":"79","author":"DC Ma","year":"2024","unstructured":"Ma DC, Wu WW. Does artificial intelligence drive technology convergence? Evidence from Chinese manufacturing companies. Technol Soc. 2024;79:102715. https:\/\/doi.org\/10.1016\/j.techsoc.2024.102715.","journal-title":"Technol Soc"},{"issue":"2","key":"361_CR7","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1177\/13505068241258053","volume":"31","author":"R Homanen","year":"2024","unstructured":"Homanen R, McBride N, Hudson N. Artificial intelligence and assisted reproductive technology: applying a reproductive justice lens. Eur J Womens Stud. 2024;31(2):262\u201376. https:\/\/doi.org\/10.1177\/13505068241258053.","journal-title":"Eur J Womens Stud"},{"key":"361_CR8","doi-asserted-by":"publisher","DOI":"10.1177\/01655515241293775","author":"L Giraldi","year":"2024","unstructured":"Giraldi L, Rossi L, Rudawska E. Evaluating public sector employee perceptions towards artificial intelligence and generative artificial intelligence integration. J Inf Sci. 2024. https:\/\/doi.org\/10.1177\/01655515241293775.","journal-title":"J Inf Sci"},{"issue":"5","key":"361_CR9","doi-asserted-by":"publisher","first-page":"1525","DOI":"10.1007\/s10936-023-09960-5","volume":"52","author":"YH Wang","year":"2023","unstructured":"Wang YH. Artificial intelligence technologies in college english translation teaching. J Psycholinguist Res. 2023;52(5):1525\u201344. https:\/\/doi.org\/10.1007\/s10936-023-09960-5.","journal-title":"J Psycholinguist Res"},{"issue":"4","key":"361_CR10","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1002\/jocb.552","volume":"56","author":"JE Anjo","year":"2022","unstructured":"Anjo JE, Tureta C. The sociomateriality of the creative process: script roles in film production. J Creat Behav. 2022;56(4):566\u201383. https:\/\/doi.org\/10.1002\/jocb.552.","journal-title":"J Creat Behav"},{"issue":"1","key":"361_CR11","doi-asserted-by":"publisher","first-page":"213","DOI":"10.15581\/008.38.1.213-42","volume":"38","author":"VA Aranda","year":"2022","unstructured":"Aranda VA. La Gitanilla (Anonymous, 1914) and La Ilustre Fregona (Francisco Carrillo Casado, 1926): two cervantine scripts from the silent era. Rilce-Rev Filol Hispanica. 2022;38(1):213\u201342. https:\/\/doi.org\/10.15581\/008.38.1.213-42.","journal-title":"Rilce-Rev Filol Hispanica"},{"issue":"5","key":"361_CR12","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1515\/multi-2018-0118","volume":"38","author":"G Kirsch","year":"2019","unstructured":"Kirsch G. Post-script from film studies: whose choice? Watching non-English language films in the UK. Multilingua-J Cross-Cult Interlinguist Commun. 2019;38(5):619\u201324. https:\/\/doi.org\/10.1515\/multi-2018-0118.","journal-title":"Multilingua-J Cross-Cult Interlinguist Commun"},{"issue":"2","key":"361_CR13","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/s10824-019-09372-1","volume":"45","author":"R Behrens","year":"2021","unstructured":"Behrens R, Foutz NZ, Franklin M, Funk J, Gutierrez-Navratil F, Hofmann J, Leibfried U. Leveraging analytics to produce compelling and profitable film content. J Cult Econ. 2021;45(2):171\u2013211. https:\/\/doi.org\/10.1007\/s10824-019-09372-1.","journal-title":"J Cult Econ"},{"issue":"4","key":"361_CR14","doi-asserted-by":"publisher","first-page":"1636","DOI":"10.3758\/s13428-018-1168-7","volume":"51","author":"T Nalabandian","year":"2019","unstructured":"Nalabandian T, Ireland ME. Genre-typical narrative arcs in films are less appealing to lay audiences and professional film critics. Behav Res Methods. 2019;51(4):1636\u201350. https:\/\/doi.org\/10.3758\/s13428-018-1168-7.","journal-title":"Behav Res Methods"},{"key":"361_CR15","doi-asserted-by":"publisher","first-page":"102641","DOI":"10.1016\/j.cose.2022.102641","volume":"116","author":"A Kumar","year":"2022","unstructured":"Kumar A, Alharbi K. Ensemble machine learning techniques for accurate and efficient detection of botnet attacks in connected computer networks. Comput Secur. 2022;116:102641. https:\/\/doi.org\/10.1016\/j.cose.2022.102641.","journal-title":"Comput Secur"},{"issue":"4","key":"361_CR16","first-page":"1069","volume":"5","author":"S Afrifa","year":"2022","unstructured":"Afrifa S, Varadarajan V. Cyberbullying detection on Twitter using natural language processing and machine learning techniques. Int J Innov Technol Interdiscip Sci. 2022;5(4):1069\u201380.","journal-title":"Int J Innov Technol Interdiscip Sci"},{"issue":"4","key":"361_CR17","first-page":"2199","volume":"16","author":"P Appiahene","year":"2024","unstructured":"Appiahene P, Afrifa S, Akwah EK, Choudhry A, Khatri I, Raj C, Prasad M. Analyzing sentiments towards e-levy policy implementation in Ghana using Twitter data. Int J Inf Technol. 2024;16(4):2199\u2013214.","journal-title":"Int J Inf Technol"},{"issue":"2","key":"361_CR18","doi-asserted-by":"publisher","first-page":"623","DOI":"10.32629\/jai.v6i2.623","volume":"6","author":"P Appiahene","year":"2023","unstructured":"Appiahene P, Varadarajan V, Zhang T, Afrifa S. Experiences of sexual minorities on social media: a study of sentiment analysis and machine learning approaches. J Auton Intell. 2023;6(2):623. https:\/\/doi.org\/10.32629\/jai.v6i2.623.","journal-title":"J Auton Intell"},{"issue":"6","key":"361_CR19","doi-asserted-by":"publisher","first-page":"1625","DOI":"10.32604\/csse.2024.055084","volume":"48","author":"S Afrifa","year":"2024","unstructured":"Afrifa S, Varadarajan V, Appiahene P, Zhang T, Afrifa R. Evaluating public sentiments during Uttarakhand flood: an artificial intelligence technique. Comput Syst Sci Eng. 2024;48(6):1625.","journal-title":"Comput Syst Sci Eng"},{"issue":"3","key":"361_CR20","first-page":"204","volume":"30","author":"S Vikash","year":"2024","unstructured":"Vikash S, Surbhi D, Albert A, Ahmad T. Emergence of technology-driven promotional strategies for commercialised Indian cinema. Ann Univ Dunarea Jos Galati Fascicle I, Econ Appl Inform. 2024;30(3):204.","journal-title":"Ann Univ Dunarea Jos Galati Fascicle I, Econ Appl Inform"},{"issue":"3","key":"361_CR21","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1515\/commun-2019-2059","volume":"44","author":"T Leitch","year":"2019","unstructured":"Leitch T. Instead of the real thing: six ways to talk about what Hollywood does to European films. Commun Eur J Commun Res. 2019;44(3):342\u201351. https:\/\/doi.org\/10.1515\/commun-2019-2059.","journal-title":"Commun Eur J Commun Res"},{"issue":"1","key":"361_CR22","doi-asserted-by":"publisher","first-page":"177","DOI":"10.3846\/jbem.2023.18805","volume":"24","author":"Z Jankov\u00e1","year":"2023","unstructured":"Jankov\u00e1 Z. Critical review of text mining and sentiment analysis for stock market prediction. J Bus Econ Manag. 2023;24(1):177\u201398. https:\/\/doi.org\/10.3846\/jbem.2023.18805.","journal-title":"J Bus Econ Manag"},{"issue":"1","key":"361_CR23","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1108\/DTA-03-2018-0017","volume":"53","author":"E \u00c7ano","year":"2019","unstructured":"\u00c7ano E, Morisio M. A data-driven neural network architecture for sentiment analysis. Data Technol Appl. 2019;53(1):2\u201319. https:\/\/doi.org\/10.1108\/DTA-03-2018-0017.","journal-title":"Data Technol Appl"},{"key":"361_CR24","doi-asserted-by":"publisher","DOI":"10.1007\/s13132-024-01998-7","author":"GS Wei","year":"2024","unstructured":"Wei GS, Chen WD, Dongzhou NM. Enhancing sustainable development through sentiment analysis of public digital resources: A PSO-LSTM approach. J Knowl Econ. 2024. https:\/\/doi.org\/10.1007\/s13132-024-01998-7.","journal-title":"J Knowl Econ"},{"issue":"5","key":"361_CR25","doi-asserted-by":"publisher","first-page":"910","DOI":"10.3390\/healthcare10050910","volume":"10","author":"NA Alkhaldi","year":"2022","unstructured":"Alkhaldi NA, Asiri Y, Mashraqi AM, Halawani HT, Abdel-Khalek S, Mansour RF. Leveraging tweets for artificial intelligence-driven sentiment analysis on the COVID-19 pandemic. Healthcare. 2022;10(5):910. https:\/\/doi.org\/10.3390\/healthcare10050910.","journal-title":"Healthcare"},{"issue":"4","key":"361_CR26","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1108\/EL-03-2022-0064","volume":"40","author":"GH Ye","year":"2022","unstructured":"Ye GH, Peng Z, Wei JY, Hong LZ, Li SY, Wu C. Dynamic sentiment sensing of cities with social media data. Electron Libr. 2022;40(4):413\u201334. https:\/\/doi.org\/10.1108\/EL-03-2022-0064.","journal-title":"Electron Libr"},{"key":"361_CR27","unstructured":"Devlin J, Chang MW, Lee K, Toutanova K. BERT: Pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2019; 4171\u20134186."},{"key":"361_CR28","doi-asserted-by":"publisher","first-page":"103215","DOI":"10.1016\/j.irfa.2024.103215","volume":"93","author":"I Ghosh","year":"2024","unstructured":"Ghosh I, Alfaro-Cort\u00e9s E, G\u00e1mez M, Garc\u00eda-Rubio N. Reflections of public perception of Russia-Ukraine conflict and Metaverse on the financial outlook of Metaverse coins: fresh evidence from Reddit sentiment analysis. Int Rev Financ Anal. 2024;93:103215. https:\/\/doi.org\/10.1016\/j.irfa.2024.103215.","journal-title":"Int Rev Financ Anal"}],"container-title":["Discover Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44163-025-00361-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s44163-025-00361-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44163-025-00361-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T08:02:36Z","timestamp":1750320156000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s44163-025-00361-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,19]]},"references-count":28,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["361"],"URL":"https:\/\/doi.org\/10.1007\/s44163-025-00361-2","relation":{},"ISSN":["2731-0809"],"issn-type":[{"value":"2731-0809","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6,19]]},"assertion":[{"value":"29 January 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 June 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 June 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"114"}}